Energy heterogeneity constrained wireless power transfer for 5G end-use
Mobile network operators (MNOs) are currently advancing towards the 5th generation (5G) of wireless technology. MNOs are in need to evolve in three fundamental ways; densification, virtualisation and optimization. Firstly, densification does not only stand for adding cells, it is still expected to achieve bandwidth without boundaries, which can be achieved by MNOs by adding more antennas and small cell sites while upgrading to MIMO (multiple input/multiple output) and sector-spitting technologies. With densification, interference becomes more challenging as additional handoffs increase the possibility of dropped connections. Secondly, to be able to unlock the networks' true potential, MNOs is expected to shift from physical equipment and hardware to virtualization. For example, by moving baseband processing units from cell sites to a centralized location lowering latency while reducing the amount of equipment necessary on site. Lastly, to cope with the 5G advances, MNOs need to become more efficient, hence, optimization. By placing cloud computing capabilities closer to edge for lower latency and embracing new technologies such as advanced self-organizing networks (SON) and advanced beamforming to optimize performance. Frequency management, anticipating future power needs, and deploying more duplexing technology are all vital factors for 5G management.
This research aims to:
- Exploring solutions for energy and data supply to end users avoiding the loss of data rate and their connectivity failure.
- Identification of design impracticalities that could lead to cascading failures and investigate suitable resilience mechanisms against them.
- Development of an energy constrained self-reconfigurable data virtualisation platform for 5G end-use.
- Development of a device heterogeneity constrained self-reconfigurable data virtualisation platform for 5G end-use.
ElSabaa, A.A., Patwary, M., Benkhelifa, E., Zaki, A. and El-Khamy, S.E., 2017, May. On consumable energy allocation frame-work with SWIPT for remotely located wireless node within internet of things. In Fog and Mobile Edge Computing (FMEC), 2017 Second International Conference on (pp. 201-206). IEEE.
